code: def get_target_coords(gridworld_image):
      goal_channel = gridworld_image[:, :, 1]
      return np.unravel_index(goal_channel.argmax(), goal_channel.shape)
  
file_path: neupy/examples/reinforcement_learning/vin/evaluation.py
imports: from __future__ import division
  import numpy
  from tqdm import tqdm
  from neupy.utils import asfloat
label_desc: Use image node_id 5 for calling a global function with example usage: get_target_coords(gridworld_image) and returns: np